Description

Creating a huge dataset of malware traffic images and normal traffic images (.pcacp to .png) by splitting it with tcpflow to generate socket to socket connection and training a model using deep learning to improve the accuracy of the malware detection.

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Creating a huge dataset of malware traffic images and normal traffic images (.pcacp to .png) by splitting it with tcpflow to generate socket to socket connection and training a model using deep learning to improve the accuracy of the malware detection.

Creating a huge dataset of malware traffic images and normal traffic images (.pcacp to .png) by splitting it with tcpflow to generate socket to socket connection and training a model using deep learning to improve the accuracy of the malware detection.

Creating a huge dataset of malware traffic images and normal traffic images (.pcacp to .png) by splitting it with tcpflow to generate socket to socket connection and training a model using deep learning to improve the accuracy of the malware detection.